Generalization
Regularization: Simplicity That Generalizes
9 min+85 XPStep 1/11
Simpler generalizes
An overfit model is a student who memorized the answer key — perfect on practice, lost on the real exam. Regularization is deliberate friction during training that pushes toward simpler explanations, because simple explanations travel better to new data.
The mechanism: add a complexity penalty to the loss, so the model only keeps a complicated pattern when it truly earns its keep.
insight
Regularization isn't about the training set at all. It's an insurance policy — you pay a little training accuracy and collect on unseen data.